Recently, SNNs are used to improve the quality of machine learning applications [1]}, [2]}, [3]}, [4]}.
We select 10 machine learning programs which are representative of three most commonly-used neural network classes: convolutional neural network (CNN), multi-layer perceptron (MLP), and recurrent neural network (RNN).
Table REF  summarizes the topology, the number of neurons and synapses, the number of spikes per image, and the baseline accuracy of these applications on the DYNAPs neuromorphic hardware.
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